{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0.812566\n",
       "1     0.185927\n",
       "2     0.328187\n",
       "3     0.635439\n",
       "4     0.173827\n",
       "        ...   \n",
       "95    0.324694\n",
       "96    0.798185\n",
       "97    0.254028\n",
       "98    0.939132\n",
       "99    0.771965\n",
       "Length: 100, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = np.random.rand(100)\n",
    "s = pd.Series(a)\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f716dedf250>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'fxxkpython')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([1, 2, 6, 8, 9, 20], 'x')\n",
    "plt.xlabel('lol')\n",
    "plt.ylabel('fxxkpython')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 7.,  8.,  8.,  4.,  9., 13., 15.,  9., 17., 10.]),\n",
       " array([0.00148198, 0.09959078, 0.19769958, 0.29580838, 0.39391717,\n",
       "        0.49202597, 0.59013477, 0.68824356, 0.78635236, 0.88446116,\n",
       "        0.98256996]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 条形图\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 5 artists>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "l1 = ['python', 'c', 'java', 'js', 'go']\n",
    "l2 = [100, 60, 90, 70, 80]\n",
    "plt.bar(l1, l2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x7f716b4e6790>,\n",
       "  <matplotlib.patches.Wedge at 0x7f716b51a450>,\n",
       "  <matplotlib.patches.Wedge at 0x7f716b51a7d0>,\n",
       "  <matplotlib.patches.Wedge at 0x7f716b451910>,\n",
       "  <matplotlib.patches.Wedge at 0x7f716b451ad0>],\n",
       " [Text(0.8944866106002058, 0.6402294147076937, 'java'),\n",
       "  Text(-0.8213669061778613, 0.7316805350942502, 'python'),\n",
       "  Text(-0.39146933376684795, -1.027984319296817, 'go'),\n",
       "  Text(0.7812611090849362, -0.7743584954214524, 'c'),\n",
       "  Text(1.0791011800068298, -0.21340253819453045, 'js')])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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z//clxeteLcgPKJGJ7X3fBr9nWEOX2Id5TbQ60To70uAbuumZiUM3PcOuHme8v2nwFUca8kpHIWKWKm3bF3Y3qDOcZuxnG3Z6vTtv79G95p283JF0IJQtvTDWs++fl56416p09/qzSnev50iXop2bTr4i/GXPs05FvGZK3zftsLtBneE0jrElK+uzX5WW1IZyuoxONJRHvThGRn17KXs87Rx2ltu0v9fw8PxeKvx4dHufc1d86i/3NnXpdjZiFgeL2253gyacDrChS5eNt5WW7NqcnTUGkaRM9YpkSc77p8h7IzepDoVcUN5+O94e3W/H25jumK/JmCvnHk3tOsry3JwNvy0tqd/h9Z6DyJBkn3/+ZM8pZ2+KRiXB0S0tu2M+63/x21sGXlyUwd0xGRPOjJ6l/2p+3pr/6NHds8/rTemWfF8WSb9dPpb3rOvcdgLeWCTXv/Xl8/xbX453x1y5+2DhwJEZ1h2TMeH8SFO72ihQz3QtXPGn7kVd6z2es+1qd+EkT5dbnk/ecGarO+Yumr15dZ+elFHdMSac6SYCkfm+bsvnFvl6N3nE9g1xlp/mOavJG/ukSzS5T8ezo1/rjlm7afAVDWncHaPQ0JWia4SQB6gHcu1v3B6NwpFZxUUrFnXrOjgq0l9nLVe/Fl162Qp1fqrbaezi+3LTyVeEd/Y8e2iadcd8OmPuJNvvDvSEEyDoCwHD9TSeOodEDt5ZUrzmxcKCsphIT931AOQ2qUNV90ZjAt3saE8h0R19xq3a7L80K026YxbPmDvpivYcKCLvKKXOTUajum5rwbq1TZtw7vV49vyuR/cPXsvPG9HZPspkO9JFCsMDWHr6Z6T86glWd0zfHe+M6bvjHerze23ZeMpVtXvd3R2zvr0HJiuYoHe+X0hj20mzPcu747rePZdOHNgv77WC/ImIOHJY4qNTvAOUhhlBBYd3DhqxfvbEictuzhu8+aW3vZGGDXbXkATr2nugiBwSkT4islRE1orIB9KO8dCt0XnlfE9j2532SXZW7a9Ke3we7pI9GhHHf776rKecVFfAmqJ6bHtS3NLXu2NOqtl4ylW7DnZ1TXfM6g4e/z3gFaXUf4qIF0joz6jzM6cP2IvLZuuvy+ny0a9LS/Zuycoag4irar9wXWzF9f8dc8yO4lZ3TPna7X3H9495sp061nrnjLmTerf3YBE5BFwCPAYsAhYrpdYm0rC+cAIEfeuBgL4C2m9ZXu76YI/uTV9mZY3SXUuiRKnYE3dFt2fF0Pr0uDW7Ss5Yu+lkR3bHvDhj7qRp7T1YRA4ppQpFpC9QDtwE3K2UWtDRhnXe1gK8g8PD+V8F+av+WFLc5YDXe4buWjpLiXiWDpdPJq1Xjgtn6Z71I0r3rD/aHfNhvDumr+66gOUdfYNYE+G3KaXmiUgBcDbgynD+VHMN3xCD2JPdCpffX1xU3ODxuPZK2ZpFF3rOuHB9tEEgT3ctrclpqus5LPx4z9PDVdEdfcYt3+y/1NvUpdtIjd0xb3bweAVcANwqIs3AIeCaRBrWHc6lmtv/mmZonlfkW/5IUbd+zSLjdNeTCofypbi2F2+dtJPxums5nm92x1xZu7e4LICInfvs7KIDDy5FpATYq5SqAqo627jez5wAQd8GaH3Gvl0aRA7fV1y08uluhUOi1meFtDb0c1XzHwujtu/U3FnW7JiLVm0ZONmuxcqqZsyd9MP2HBj/jPkmMEspNSsZjeu+cgK8iKZw1nmk7o8l3d//74L84R1ZBsTtPu4vp9Xn8EFBo7sGgVjdMa+M9299pWV3zNlYn+tS4aX2HqiU2g4kdbNiJ3QFvGB3g7u9nl039CpdMn5gf6kuLLhAidi+g5Ruz53rsX0d1mQqOvDpaeesuWvChLdujfT//I0lnljzJ0luogl4Ncnn7BAn3NYK1nScXqlu6rOsrM9/Xdp98/s5Oecg4sgHInbxRlXzE3dH93kUjhj/mwy7SgLrNp38rcNJ6o55dcbcSVOTUliC9N/WBusUQd9LwI9T1URNl+xPbist+WJjdvYYNM8QcYqoV7JXDpXwmI9U2oSzdE/ozNI9oWR1x7T7ljZV9F85AYK+S4DqZJ92VW7Oh7/pUXJwW5Z3dBrMjEi6kgPqiwfnRHuIE/6RToH47JjVm/2XehLojhk0Y+4krSt2OCWcWVhLlyRljOpr+Xlrf1/SPbonyzsyGedLZ/fPjbzbZx9p2W3UUn1ery0bh7S7O2bljLmTtA9zdMIDIQjWRehkv5AC9XxhwYpxA/uHbu5VOsIEs32qLvak6kmnoxQ07Bw0Yv2ciROX3Zw/ePOLb3sjDR8c5/BHbSvsOJxx5QQI+oYAH3f0bVGILvB1XT6nyFfa6PEkfQW7TLDw7sjHOZHkdgO4QRvdMfVAnxlzJx3UWRs4KZwAQd8SaN+E4CZofLDYt6LqBJv6GCf23Tejy654VyU05zAdWLNjLlm3ve+EfjFP9pIZcyf9SHdN4LxwXs0JBgjXixy6p3vR6ue6Fp4aE2n3VB6jbV2a1eGF90SbxexfQ11X/6ixK//e0fmbKeGMz5xfeRbY19oL+z2efbf07LFk3KD+zc926zrRBDN5mrIl/4NBktCcwzSz3CnBBKeFM1jXADzY8ltfeL1f/KR36ZIJA/tlv1qQP1G5dx0aR3t0qsevYxkTh7lfdwEtOSucllnAkdqsrK3f7dNr2eQBfYvfzcubiEih7sLS2fYSGbSvsMPLcaST7Vh3bo7hvHAG63Ze17vnXZf179Pvg9ycCYjk6C4pUzxxgfN+HGx0b1lNuFl3ES058v/GyrzcxxBJ3h4CRrssGy4jIx626K5Dg8+AObqLOJYjwxmqCG0BHtddR8YRkdfPlFrdZWgQLKsJN+ou4liODGfcH4CI7iIyzZMTPSMUHNZdh43CJGHVglRwbDhDFaFa4C+668g09Xni+6RPRj0Y+k1ZTTiqu4jWODaccb/BWsfFsNGjU7wpn1vrECvLasLP6S6iLY4OZ6gitB+o1F1Hpvmkrww9mNv+LQhczNE/W44OZ9x8XL51gxs9M8HToLuGFHulrCb8uu4ijsfx4QxVhBRwA2C6Vmz06tkyKir27+Zsk0PAz3QXcSKODydAqCL0PjBXdx2ZJOaRrHfLpMNT+Fzil2U14VrdRZyIK8IZ9xtgt+4iMsmCizynK2sVunTyBvCQ7iLawzXhDFWE9gG/0F1HJtlfKKXbSlilu44kqgd+VFYTdsUAf9eEEyBUEfo/mJFDtpo/2WPLVvU2+VVZTfhT3UW0l6vCGfdzoEZ3EZkidJJneEM2Yd11JMFSYLbuIjrCdeEMVYTqge8AR3TXkileGuvZo7uGTjoEXOeW29mjXBdOgFBFaD3wr7rryBQvjJVRMWsXcjdSwNVlNeFkb9eQcq4MJ0CoIvQQDpscm66asyR33WAJ6a4jQcGymvBi3UUkwrXhjPsxUKu7iEzw2BTPycp9A0H+BvxedxGJcnU4QxWhOuByoE53LeluZ7H0393NVd0qIaDCbZ8zW3J1OAFCFaEQMA1w3GTZdLNokscte6rsAaaV1YTrdRfSGa4PJ0CoIrQEuBr33Xa5yrunyVnNXjbrruMEIsBVburPbEtahBMgVBF6BrhZdx1pTURePUs+113GcSjgZ2U14Td0F5IMaRNOgFBFaBZwp+460tlfz/ecpUD7PiJt+EVZTdgRmxAlQ1qFM+5XwELdRaSrhhzp+lE/3tddRysqy2rCs3QXkUxpF874/M8fAU/qriVdPTrV2093Dce4o6wmnHZ3TGkXToBQRagZ+AHHbO1gJMeWXnJyXb5jrp63ldWEf6e7iFRIy3AChCpCsVBFaAYu7oR2sqfP9zhhnuctZTXhP+ouIlXSNpxHhSpCt2PNA3VtZ7QTvX6mjIoK2zQ13wz8pKwm/CdN7dsi7cMJEKoIPYDVD2oWqU6SmEe8bw2TTRqa3gNMKasJz2vvG0TkGhFZLyLrRMQ1DwudtXluigWqAuXA00DBiY41Tqxbvdoz74FooYBdm019CFxWVhNu90AIERkGPAecp5TaLSLdlVKumGGTEVfOo0IVoWpgNKTF5GHtDhRIydZS28bbVgPjOhLMuEnAs0qp3QBuCSZkWDgBQhWhD4FzgCd015IOHpvitWMz43uAy8tqwgcSeK/g0ucNGXVbe6xAVeCnWLsZmz1AO+HxeyMb8psYloJTNwA3lNWEH0/0BPHb2ueBcUqpPea21iVCFaG/AOPA8YO5HW3xOM/+FJz2XWBEZ4IJoJTaAPwnsERE1gGuecKb0VfOowJVAR/wKPBPumtxo6yIalx0T/SAR1GahNM1Ardj7TTtyN2/7GLC2UKgKjAdmAX0112L29z6bHTJORvVxE6eZjXWBOkNyajJ7TL6tvZYoYrQYqAM+DOQ0f9qd9T8yZ6hKvF+5Gasq+VYE8yvmCtnGwJVgbOwNu89R3ctbvHAQ5H3eu9nbAff9jbw87Ka8NpU1ORm5srZhvjmSWOxFrFO5BF+xllwkSevA4eHsZYSGW+C2Tpz5WyHQFWgF3ArcD2Qr7kcR1t4d2RjToQhxzlkO3AHMD/TH/iciAlnBwSqAj2Bf8PaL9QMAWzF99+ILpv2nprQyksHsFapuK+sJnzY5rJcyYQzAYGqQClwCzADKNRcjqPkNKn6BfdGIwK++LfqgIeBO8tqwm7f1sFWJpydEKgKlGBtCzGDr34YM97tT0SXDt+q+mONvnqsrCZ8SHdNbmTCmQSBqkA+8G3gJ1gjjjJVDHi53241+8/zoq+U1YTNUqWdYMKZZIGqQAD4IfA9oLfeamzzGbAAmBeqCG3RXUy6MOFMkUBVwAtcjLWW0aVAkd6Kku4DYDGwOFQRWq27mHRkwmmDeFBHA1OAqfHfe7UW1XEx4B2+CqTrttRzGxNODeID7S/CCusU4CS9FbWqAXgfWBH/9VqoIvSl3pIyiwmnA8T7TwPA8PjXADAM+/pSo1hLgBwN4kogFKoImTWXNDLhdKhAVUCwrqjDgZOBHkBJ/GuPFv9dAmS3eGsMawB6c4uvjcAOrAc3rf3aYYLoPCacxyEivwW+j/UDvBtrStM/gLlYw/g+Aa5TSu3TViQQqArkYV39IqGKkOm+SBMmnG0QkVHAI1j9llnAGqxZKtcANyqllojI74BuSimzu5mRdGZWStvGAy8opRqUUgeBl7A+AxYppZbEj6kCztdVoJHeTDjbJroLMDKbCWfb3gIuE5FcESkEyoF6YJ+IHJ11cTWwpK0TGEZnZOkuwKmUUitF5EVgHbAFWIU1w6ICmCsi+Vir9l2rr0ojnZkHQschIoVKqUPxIC4FfqKUWqO7LiMzmCvn8T0sIqcDuUCVCaZhJ3PlNAyHMg+EDMOhTDgNw6FMOA3DoUw4DcOhTDgNw6FMOA3DoUw4DcOhTDgNw6FMOA3DoUw4DcOhTDgNw6FMOA3DoUw4DcOhTDgNw6FMOA3DoUw4DcOhTDgNw6FMOA3DoUw4DcOhTDgNw6H+H21FNZYC59itAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = ['java', 'python', 'go', 'c', 'js']\n",
    "nums = [35, 66, 43, 22, 11]\n",
    "plt.pie(labels=labels, x=nums)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f716b01f250>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YFvKRms+myRi0TXC5XKosj4qebWot6LI2mmxuSl7+2UT6gY9IF6n7PqGsjLxU6FWWR0XPNo0S0RVlIlXIfUJK6GmkGMmujRCMIy8PFlU50FD0bFNFqksR1zlQpBvJ+SlU8HVS9L3dq9LGi1Ns9rGXCr3K6bKiZ5sqUl2K2LWQSzkp2wQJk2JVQmj3qki/SUi38rXdx15uiuqi6UaIzo0Ulxt6UjeqquDTplaPENo9JEzIkIk+Dm5TtIy6MepVFWmV///g5It44oXXcY4ZfUS458Yr8K2x65Z9l6swSVPpcZPvuHSgH0TdW+t9uDLPxgTrq5soVEzsw9ju4+AUetVoh6aKVOX/Pzj5Iv77odeWfj/HvPR7UqnbIssSyaKJuyL9jmTiLVMRKLomRVsRM5I3CNuICeVru4+99KEXISEBfponXni90uemyWqjNE19+GXvSPaJtI1BWzLkeu+kLtL6K4s6ZTSxD2O7j4NT6BKXselscGWfm6aoLXRtVKm0d/IsgKSNwbyy5+WbqYv0DcIsJPZXmrplNKF8bfexty6XPB+nxGVsX0aKz97nLshrI52bcUUJt5LPSIwfL7rUY3KmI9JNZAuJ/ZWmbhlNHS6y2cdeWuhFM7DEZew9N15R6XPT2GijvIsI0u+TuKLacevVyJpqGXDqupOAxP5K06SMYyNDODi+Ba9M3I6D41saKWIXrikvFXrZDCxtGfutsetw703DSxZ5HxHuvWnYyYYoYGcZmH7H4EA/1q3t134WwARjI0NWL8b2CYn9lUZCGV25pryMQ984vjdzwBGAVyZub1SuyAVshO5JjR+PMeLZFPUXICMXigSZMik/RXHoShY6Ed1GRCeJ6BQRjec88wUiOkFEx4nor5sUuAwJM3Do2LIwJK6oAH8jUEyT118AxGyWmpYpFVeKK9dU6aYoEfUBeAzALQBmARwmoilmPpF45ioAXwewmZnfIqJfNVVgIJw84JKxufklcWMwlOx7uslbtW2e2C9qs9SUTKmeUXAVnKES5XIDgFPM/DIAENGTAO4AcCLxzO8DeIyZ3wIAZn5Td0GTxMFmHlMWhk85yyVONC4pUmY+bJbqQNXQcWV0qij0IQDJEzCzAG5MPfMRACCigwD6AOxk5v+Z/iIi2gZgGwAMDw/XKe8ScbCZxYSFEXOWy6DupFqkzCSGC5tAdeJyZXSqKPS8CK7091wF4LcBXA7g74noWmaeW/afmHcD2A10N0UrlzZijToWRk9RdObml2LvhxKC7EMMc6gk+4ZwYQBXmVSLlNmjd32sFW7QKhOXC6NTRaHPAkgGTF8O4I2MZw4x8wKAV4joJLoK/rCWUlrAJ1eADapaGGnru3eQqo3Lcmmk+yZtSc0vnMPXnjoGoFipFymztrhBpe/fqSj0wwCuIqKNADoA7gbwO6lnJgHcA+D7RHQZui6Yl3UW1CSmXQG+ThZVLIyi3C1tW5ZLQyV3zznmUpkvU2ZtcINKn7hKFToznyWi+wHsQ9c//jgzHyeiRwBMM/PU4t8+RUQnAJwDsIOZ/9lkwXVi0hUQit+4bFIqs7LbtCyXhuoKqEzmpSuzOtQxtiRPXEq5XJj5eQDPpz77ZuJnBvDVxX9W0WH9mnQFhOA3VpmUynK3tGlZboImcq6SV6dHmcxLVmZVCcXYSuJtci5AX4eYdAVI9BtXVQ4qk9KOW6/G9j1Hc0/wtmlZrpumcp7lKsmjTe6vEIytNF7mcumhK2+1yVOB0k611jkBqjIpFeU/Yejbi5Ceh9sETeU86+TkvTcNt/4krERjqyleW+i6OsSkK0Darngdq0R1BTNUkJa3KSEuj1XRIedZK6PRKz8kyv1lO3ggxE16rxW6zg4x5QqQ5jcuurxh88T+zDKqTkomJ68Ql8eqmFI8RTJvW7m6mLClGVs68Fqh+9IhkvzGRZc39D5PDybVScnk5CVxeWxL6TWV86rldKFcXUzY0owtHXiZPjeJrzHershKLZo8OZikaapPnX0jLZ2t7RStdduyTjldtHVMia1OUfpcry10QJb16wNZVkleSFsT67eqlVemsKStxmxblHXlvE45XayGmriVdBt1PhuJ3it0k/jcsUWklUOeRdbER1tFkago/7rLY1N9KNEFlEWdcrrYLKw7YWfJzvY9RzH96i9q3Qim093kQn9EhZ5Dm9IBmLB+q1j9qsq/qpVqsg99iZCoU04Xq6G6E3aW7DCAHxx6DaNXfqhyP+taebmKyooKPYe8jn1gz1Hs2neykQKWFoKne3NocqaT65fPUiSmrF2TbhFpLqA0edkVgfJyutosrONWypOR3oXeWavBOiksqsqiq6isqNBzKOrApgpYYgiezr2IXftOlp4YTWLK2jXpFnGh9FRXdVnZFXtKfUixnL7sTVXZA2qSwqKqLIq9gq6tlOW/aKKAffG/1qXIaspqL1PWrmm3iE2lV2VVl+eGqBqlIsktmEdRyol0P6umsFCVxaL2ceWS8/rov0my0gGkqauApaUD0E1ePfJOjGYdTdcR/hfSRc9Vjv/rMBhsXRLelLGRIfzuTcMrbuHJ6mfVFBYqsljWPq5kz3sL3ZQVkVxS51nqdRWwdP9rU5pYOY/e9TFtVmBIB0eqKGkd1qFEt2Ae3xq7TimNgWq7qKy8VNrnotWrlp5Zt7YfD31mU4xyKcL05mKvY/MOZ9RVwCEpmixU62djc1iKL7ip4VFFSeswGHxzC6r0s05Dqqh9svTFuwvnK7+jDl4rdFtWhAkFLEXR1KVMQemyckJAx8RVRRnpkFdfwjKrUMXQaGLtu5RrrxW6TSvCdwWsE12WtW9WYF10DPCqSrqpvIbqFixrF9WDSkXts33P0czvtiHXXit036wIH6IGVNBlgZjsP0ltrTPNs60j7aG7BfNQPahU1D55+2429JLXCt0nK0LaYaIm6FJQpvpPWltLMDzqtEkbV6VVDirltY9LveR12KKpcDcT6LpdqQqmbvjRFXapu/969X1gz1HrbV2EhPBJF/LnI0UyrGqwuNRLXlvogDkrQveS3ba/2KSVqtMC0dV/WZEFaZpmj6wrDxLcF23Zr2hKlYNKRbha3Xiv0HWQHqw3X7Mezx7paFWGtpfdJnfaJSioNFn1TVO3rXVMjq7dFxLcPj4wNjKE6Vd/gR8ceq1S/hsptF6hZw3WdGcCzZWhbb+aaYvMlYLKs5TL6tWkrUMIr/RpvykPWxvdqgeVJNJ6hZ63q51FE2Vo26qtY5FJigzJoshSLsq9o5qQKo8Q3BUSV1VVsL3R7XpFVZfWK/Qqg9LkpbxVUFG8VS0yV5EhVSaRPEt559TxzOfLrlpTfbd0d4VqPXxVUgCwc+q496skG7ReoZdlVewhZXmapXh3PHMMO6eO4+35hRUDuqmyNDlgqk4ieZPv3PzCis/KcmdUeXfW5EgAbr5mfUkNzSMtRNMEkzOdzD4G/Fol2cDrsEUdqGRVJAB3Xi/DuslSvAvnGHPzCyuyvo2NDOHg+Ba8MnE7Do5vKSy/C7dC1VC6Khbx2jWrC+tb5d1jI0O48/qhZRn9GMCzRzrOsw+2IRyxqC5SVklSaL1CT8eM9lE6EWd38B546bT1smWhomDrDGgXKX2rTiIqk2/Zd9R994GXTudulLskr7ydxSRRIVDUlxJWzZIISqHXPUiTtGTPc/aWqJSlnaqCrXNq0/bhl6qTSNaBjXVr+yt9R913S90YLaqnxPzldcir47q1/SJWzZIIRqHrSsgv/fIJVSvV9alNFepMImk30kOf2VRrIqr6bqlyUSQPElYQOsjrq4c+s8lRieSitClKRLcB+C6APgDfY+aJnOc+B+BpAP+Kmae1lVIBXZt60uN105udg2v78ct3z2Lh/IWVhetTm1XeBzQLpav7HVX/n1S56JX3AUMZ/iSEsvoecmkT4hwXw9IDRH0A/gHALQBmARwGcA8zn0g990EAewGsAXB/mUIfHR3l6Wk9On9yppMr0ATglYnbS/9/+qTogZdOeyM8EgZdG2jazib7afPE/sxorar3iCbJu9il7sotyqkeiOgIM49m/U3FQr8BwClmfnnxy54EcAeAE6nn/hDAdwD85wZlrUxP6PIoWxJnhX09e6QjNskXkD0w6g7ayEryFE+TFYzp8EITKwidoaxtCK+UgIoPfQjA64nfZxc/W4KIRgBcwcx/W/RFRLSNiKaJaPr0aT1RI0U5PFQE2rewL18u7/UVU+1rWs5M7IHo3Aj2bZzVxVSGU1VULPSVcXyJ0/FEtArAowC+WPZFzLwbwG6g63JRK2IxRcKlItBSoxfyCCGviGRMta8NOdO9B6LzhKxv46wOElYhKhb6LIArEr9fDuCNxO8fBHAtgB8S0c8A3ARgiogyfTy6yROuocEBpUaUGr2QRxsGhktMta9vcgY0C2VNW6qXDtQLL/UJCasQFYV+GMBVRLSRiNYAuBvAVO+PzPw2M1/GzBuYeQOAQwC22opyaRo/LeHygSr4qBh8wlT7+iZnQH03Tpbb6p33z6J/1fLFvvT6V0WCsVXqcmHms0R0P4B96IYtPs7Mx4noEQDTzDxV/A1maRrS5FtIlNTwuVAw1b6+yVmPOm6cvPQU69b2Y+2a1V7Vv4dKhI6EJG6lYYum0Bm2GCp5QhTDv8wS27cZG8f3ZqagVgkhdkVRn6uGb+oO88yjadhiK3E9qMs2WKKCMUds32ZIsFSrUDbWVDfKJazCokLPQMJutcloFteTle+4bj/X7y/DN7dg2Vir4ht3bQwEo9B1CrmE0EBTGywSJiufcd1+rt+vggRLtQplY82nFUcQybl0HwaRsFttKtpCQmiVz7huP9fvV0H6CiJN2VjzKUIpCIWuW8glhAaaEiIJk5XPuG4/1+8vw8eTzGVjzUUm0roE4XLRLeQSfIB1lq2+hFb5jOv2c/3+MiS4K6uiMtZc+8ZVCUKh6xZyKT7AKkKk6luVMFn5jOv2c/3+MqSvIPLwRWGXEYRCNyHkvnWwT6FVSaT4W1XLYav9ijI+2nh/XaSvIEInmINFdRSDbmXiUjn5epjDxkEMX8ohtTxV8LnsvtCKg0VVLeoiFwVQ3QJyHU7mo2Ukxd8qpRwuyqPbCHGxgpCyypNAMAq9KnmD5uHnjuPdhfOVFbNrpSDdt5qFLX9r2YBvWg7dCsVmu5gwQmy6K10bUtIIImyxDnmD460zC7VCIF1vBvkUWtXDRnioShhdk3KYCNOzFTabZ4R87aljzi5oqIoPcfk2aa1Crzo4yhSzhNj1sZEhHBzfglcmbsfB8S2ilTlg58CGyoBvUg4TCsXWQZY8mT7H7E0MuWtDShqtVeh5g2awZiJ+iafJXF+HVYaNVYXKgG9SDhMKxdZqS8XYkG7tSjCkJNFaH3re5g2AWr5oaeFkWb7F7XuO4oE9RzEkaOPItL/V9Gaxqe+34YfO2nfJQrK16+PekUmCCVtsSnJj69KBfhABc2cWnCvmumye2J+paHq0JZQsK4yuv49wyZrVeHu+2783X7Mezx7pLH9mFeEDF68ulQHfw/SScr+KCOcy9MHQ4AAOjm9xUDo1XEW5uHpvUdhiqxR60YURTQeltNCpvLj0JNIHqi6SfTO4th+/fPcsFs5faB0CStuqSB6k9X1dfJ+cbOKyraJCR3EH7Np3MtOaVVV4EgdCmYUOyD50lESnwlRplzzaMAGGMjmZJk+ObMhIKw4WlVEUjdB0Y8t1DHoWKv5RHzaOdMcZN/EHS/Yl68K3lBc6J6Aq3yU1uqY1Cj2voTtz8xhquLElsXOTm7SdufkVboUqG0curTbdk2XeJqaK28WHCVAyJlJtqEz2Ku+tajhIPZndGoVeNJCzNsWqKDypnZu0turmutk5dRxz8wtLn1W1kJtedF11siz73ryoiDuvH8KBl04vbYq/8/5ZLJzjZc9IjZzQpShNTtwmTnSqTPaq761iOEzOdHDm/bMryiNBRlqj0HfcejW27zm6wgpjAAdeOr3kS68jzD6ETjXNdZNE1ULOG0zTr/5i2QRaNLirTJYqg1c1vNQXX7IuRWn6CL0Jt6TKZK/6XlXDIW9cDA70Y+fWTc5lpDUKfWxkCA/sOZr5tzfm5hv5DqXFoOsgayAkUXEn5Q2mJ/t0dcIAAA7/SURBVF54fUV4XN7grjJZVkkhXNY3vviSdSlK0/tAJtySKpO96ntVDYe8cXHJRatFyEtrFDqAxr7yInxRAKrUTXWg8h1Zsc55z1eZLCXuZeShYwUwOdPJjdipWmfTbWfCLaky2au+V9VwkC5jrVLokl0j0pb4eQMBUG+zou/Iez4L1clS6l5GGh3ujd535KGaWKzsUJGutjN1CQ1QPNnnRXu9895ZTM50KrvipMtYqxS6VNeIxBSgeQNhFQF3Xq+mYFWPlgN6JlbJE3YSHe6NIpeYSp3TMpelzHW2namxVzbZ9/728HPH8daZC5v7c/MLmfsrZeWRLmOtUuiATNeIxDj23nvTUS7nGXj2SAejV35IyQ8NXBjERWGBOg5hSZ2w0+hYthc9q9KWeRNCHxHOMxtpO1djb2xkCLv2nVym0IF6Y0y6jLVOoUtEql+uNxCSCh2oNhCSg7jodJ2uAVGmNCS4tnQs2/O+o48I2/ccxa59J2sdjDnP7MXp4aroHGNFMuZavlqbPlcSklOA6hwIrlMMm7iMog462iHrOwD1XOaSZa6HzvTPUi5TMU1U6AJwreiK0DEQegNz+56juGj1Kqxb2280z3eeIpByu83YSPN85+nv6CNa8UxR3aTJXLrPHpx8UatylHKZimmUXC5EdBuA7wLoA/A9Zp5I/f2rAH4PwFkApwH8R2Z+VXNZnWBjCSXZL9d0Eyi9+TY3v4CB/j48etfHjNSvaIO5yWrDxGXKOjcEN47vzXwmr26SZC6rz35w6LUVey5N9pXK6qujfyW4TksVOhH1AXgMwC0AZgEcJqIpZj6ReGwGwCgznyGiLwP4DoC7TBTYJjajTyRu1gLNB77tDd+i99X1XTeRA1s+1Tp1kyJzWX2Wt4He9CaorPrqGucSQhpVXC43ADjFzC8z8/sAngRwR/IBZj7AzGcWfz0E4HK9xXSDhCWUBMZG6t9VattqKXpf3WV3XTmw6VOV5kKpQhVZMKEcdY1zCX2gotCHALye+H128bM87gPwd00KJQUJSyjfsb35VvS+ur7runJg0yDQ4Zd3haosZClHHRunusa5hD5Q8aGv3G3JWRER0b0ARgH8Vs7ftwHYBgDDw8OKRXRHkyW6BN+kBGwfxCh7Xx03Q105sG0QSHGhVEXlAFrWPbgSXSWu+0DFQp8FcEXi98sBvJF+iIg+CeAbALYy83tZX8TMu5l5lJlH169fX6e8VqmzhNKxzNYZruUa21aLiffVXUq7DA30SYZ6fZYVqQNcuAUo3YchuUp0oWKhHwZwFRFtBNABcDeA30k+QEQjAP4MwG3M/Kb2UjqizoZg001AiWkAmmLbatH9vrobwzZXJ0X3pvogQ71yVWkvna4SQEbET1NKFToznyWi+wHsQzds8XFmPk5EjwCYZuYpALsAfADA09SdZV9j5q0Gy22NqsohxOvsIvUmCVuKIm0EpI+4A/VlyKb7sGp7FblKqpY7/e6eld+kri5cr0px6Mz8PIDnU599M/HzJzWXywg2GripPy5uxEaqUpa7vkdVGXKxWqwyceatgG6+Zn3lcuvKgOl6ldSak6K2Qsia+uN8OJIdUcOWzKkq6qoyJD1sN2+/5MBLpyuXu2ld03391pmFJWVe5/vq0hqFbks4m27KhbRB03ZsyZyKoq4jQz6sFrPOSNQptwlXaRaduXmjG9StybZoUzibbMqFtEGTpm3hnLZkLsv10N9HuGTNarw9v1C7rSWcfKxDnXKbcpVmYdL10hqFbks4dSgt17GsJpAevWNisrElc6aMAOmXOeRRp9xN61rldi6TQQ6tUeg2hFO60nKJ5OgdU/1mUyGaMAJ0TRS2V2Z1yt20rnmrpIVz6vfn6oA458Je04yOjvL09LTVd5oWrKILHA6Ob9H2Hh/ZOL4383gxAcoXKpjqP5P9FpqbqWp90pMl0J3UfElLkEdWOwArJ4Rd+05qly0iOsLMo1l/C9JCzxM6064MHzaRXNHU/WBy9WOy32y5z2xMHHX6QPLKrC557fDtz16XqaRtuq2Ci3JxeWtIDDnMp2n0jsmIEd/7zZbM1+mDEI2cqu1wcf8FNTs40G90dRKcQncZOxtDDvNpGs5pUjH43m+2ZL5OH/g+WWah2g69iTZ5cve9s+eNli04l4tLiyDkkEMdNHE/mIwY8b3fbMl8nT7wNVKmCNV2cOFuCk6hu46dDTHksAhbm36mFYMP/ZbX1rZkvuio/eaJ/Zky4PtkmYWqLLowLoNT6CqNHVrkgStsX9EHhKUYqjA508GOZ44thcF15uax45ljAOxZwVl9cPM16/HskU6hDPgwWeZRpCvKZNGFcRlk2GJRJ0gOo/Jtoolhmmro6NeRR/5XZhbFdWv7MfPNTzmTnZBloKmuMKVrWhe2WGQRSA2j8vFQUogRDLrR1a9Zyjz5uSsrOGQZaKorXKwqg1ToRUgVQKkTTRGu9yt8QLVffVud9QhZBnToCtsTbXBhi2VIDaOSOtEU4Xu4nw1U+lUljnxwoD/ze/I+t0XIMiBVVxTROoUuVQB9FJ6mseVtQKVfVeLId27dhP5Vy+/c7F9F2Ll1k8bSVidkGZCqK4ponctF1a9lewnsa7yuzxEMNlDpVxUrXnKUT6gyoKPNbeuRIKNcmuIqEsZXP2qkmLJ+dREp4krW2iTjLqJcokLPIORQrIg8sgY+0PWP79y6SZvC6ynTztw8CFiW/dKWwSI1ZNgEpvRI68IWm+LjBqVkmlploVt1vbo8/NzxZeGJc/ML2kJX08o0bcbZiKjyMZKrCS70SOs2RVXwcYNSKk0zAdrKJDg508Hmif3YOL4Xmyf2W8nOmWRsZAhr16y0r3Ql2VK589K0wdI2Q8mFHokKPQNpu9uulU0TmmYCtJFJ0GXK5SQmFZ7Kd5g2WNpmKLnQI1GhZyApFEuKsqlLUyVlw6pzmXI5iUmFV/YdNgwWaYaSaVzokehDz0FKKJbvfsemJwltnESU4gowGbqa9d29jdEhS/sSkkMvTWFbjwSl0F1unpl6txRlU5emSspGfH7dSUN3n6sovLrvlKJMpRhKoRKMQneZ3Mrku33PldFUkdhQRHUmDVN9XqTwmr4zKtPwCSYO3WXsuOlb49sUu+uKqpavC3mL5yMiQEvi0PNcEJ25+dzbVHQwOdPJHGRFZaqClKWyS2y40qpary5cYb673yLmCUah57kmCFj6XLcbpmc9F5VJB21eKkvNE+/CFea7+y1inmDCFrNCotLHmwG94WhFhzVCDseyiZSQwjQuQvDaFvYXqY6SQiei24joJBGdIqLxjL9fRER7Fv/+AhFt0F3QMrJiPvN2B3QtUYu+J/q49SDVzeAixljS+YiITEpdLkTUB+AxALcAmAVwmIimmPlE4rH7ALzFzP+SiO4G8F8A3GWiwEWkXRN5m0i6lqh5S+ChwYE4yDQh2c3gwhXWZvdbpBwVC/0GAKeY+WVmfh/AkwDuSD1zB4C/WPz5GQCfICKCY0wvUeMS2DyxjSMRdVQ2RYcAvJ74fRbAjXnPMPNZInobwL8A8E/Jh4hoG4BtADA8PFyzyOqYjhCJESjmiW0ciahTGodORJ8HcCsz/97i7/8OwA3M/JXEM8cXn5ld/P0fF5/557zvlZwPPRKJRKRSFIeu4nKZBXBF4vfLAbyR9wwRrQZwKYBfVC9qJBKJROqiotAPA7iKiDYS0RoAdwOYSj0zBeA/LP78OQD72dUR1EgkEmkppT70RZ/4/QD2AegD8DgzHyeiRwBMM/MUgP8G4K+I6BS6lvndJgsdiUQikZUonRRl5ucBPJ/67JuJn98F8Hm9RYtEIpFIFYI5KRqJRCJtJyr0SCQSCYSo0CORSCQQokKPRCKRQHB2wQURnQbwao3/ehlSJ1ADp231BWKd20Lb6qyrvlcy8/qsPzhT6HUhoum8U1Ih0rb6ArHObaFtdbZR3+hyiUQikUCICj0SiUQCwUeFvtt1ASzTtvoCsc5toW11Nl5f73zokUgkEsnGRws9EolEIhlEhR6JRCKBIFKh+3AptW4U6vxVIjpBRD8hov9DRFe6KKdOyuqceO5zRMRE5H2Im0qdiegLi319nIj+2nYZdaIg18NEdICIZhZl+9MuyqkTInqciN4kop/m/J2I6I8X2+QnRPRxbS9nZlH/0E3R+48Afh3AGgDHAHw09cwfAPjTxZ/vBrDHdbkt1PlmAGsXf/5yG+q8+NwHAfwIwCEAo67LbaGfrwIwA2Dd4u+/6rrchuu7G8CXF3/+KICfuS63hnr/GwAfB/DTnL9/GsDfASAANwF4Qde7JVro3l5K3YDSOjPzAWY+s/jrIXRvjvIZlX4GgD8E8B0A79osnCFU6vz7AB5j5rcAgJnftFxGnajUlwH8yuLPl2LlbWjewcw/QvGNbXcA+EvucgjAIBH9mo53S1ToWZdSp28EXnYpNYDepdS+olLnJPehO8P7TGmdiWgEwBXM/Lc2C2YQlX7+CICPENFBIjpERLdZK51+VOq7E8C9RDSL7p0LX0H4VB3vyihdcGGZLEs7HVup8oxPKNeHiO4FMArgt4yWyDyFdSaiVQAeBfBFWwWygEo/r0bX7fLb6K7C/p6IrmXmOcNlM4FKfe8B8H1m/iMi+tfo3nx2LTOfN188ZxjTXxIt9DZeSq1SZxDRJwF8A8BWZn7PUtlMUVbnDwK4FsAPiehn6PoapzzfGFWV7f/BzAvM/AqAk+gqeB9Rqe99AJ4CAGb+MYCL0U1iFTJK470OEhV6Gy+lLq3zovvhz9BV5j77VXsU1pmZ32bmy5h5AzNvQHffYCszT7sprhZUZHsS3Q1wENFl6LpgXrZaSn2o1Pc1AJ8AACL6DXQV+mmrpbTPFIB/vxjtchOAt5n551q+2fWOcMEu8D+gu0P+jcXPHkF3QAPdTn8awCkA/xfAr7sus4U6/28A/w/A0cV/U67LbLrOqWd/CM+jXBT7mQD8VwAnALwI4G7XZTZc348COIhuBMxRAJ9yXWYNdX4CwM8BLKBrjd8H4EsAvpTo48cW2+RFnXIdj/5HIpFIIEh0uUQikUikBlGhRyKRSCBEhR6JRCKBEBV6JBKJBEJU6JFIJBIIUaFHIpFIIESFHolEIoHw/wFxytsK5QZ1KgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.random.rand(300)\n",
    "y = np.random.rand(300)\n",
    "plt.scatter(x, y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 箱图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1,  8, 18, 11],\n",
       "       [12, 17,  6,  2],\n",
       "       [10,  2, 16,  9],\n",
       "       [ 8, 10,  5,  7],\n",
       "       [ 5,  7, 14,  6],\n",
       "       [ 4, 12,  0, 11],\n",
       "       [11, 19,  5,  5],\n",
       "       [10,  6, 15,  8],\n",
       "       [ 2,  4, 18, 18],\n",
       "       [ 2, 18,  1, 12]])"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a2 =np.random.randint(20, size=(10,4))\n",
    "a2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.boxplot(a2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
